S. Mann

An improved metric for estimating morphological information in corpora

This paper uses morphological feature annotations from the Universal Dependencies corpora to quantify information carried by morphology across 154 different datasets spanning 72 language varieties, and proposes an information-theoretic approach that measures how surprising morphological feature values are given a token’s part of speech or lemma in the corpus.